||The applications of bioinformatics in cancer detection /
|| New York Academy of Sciences,
||1573315109 (cloth : alk. paper); 9781573315104 (cloth : alk. paper); 1573315117 (pbk. : alk. paper); 9781573315111 (pbk. : alk. paper)
Cancer--Diagnosis--Data processing--Congresses ;
Medical informatics--Congresses ;
DNA microarrays--Diagnostic use--Congresses ;
Computational Biology--methods--Congresses ;
Diagnostic mâedical ;
Puce áa ADN ;
Informatique mâedicale ;
Utilisation diagnostique ;
Krebs (Medizin) ;
||Q11.N5 2004 v.1020
||x, 277 p. : ill. ; 22 cm.
Includes bibliographical references and index.
Overview of commonly used bioinformatics methods and their applications / by Izet Kapetanovic, Simon Rosenfeld, and Grant Izmirlian -- New computational methods in cancer-related bioinformatics / by Simon Rosenfeld -- Bioinformatic strategies for translating genome-wide expression analyses into clinically useful cancer markers / by Daniel R. Rhodes and Arul M. Chinnaiyan -- Bayesian model-based methods for the analysis of DNA microarray data / by Joseph Ibrahim -- Diagnostic classification of cancer using dna microarrays and artificial intelligence / by Braden Greer and Javed Khan -- Application of bioinformatics in cancer epigenetics / by Maxwell Lee -- Pathway databases / by Carl Schaefer -- Microarrays and the gene expression profile of a single cells / by Ernest Kawasaki -- Bioinformatics tools for single nucleotide polymorphism discovery and analysis / by Robert Clifford ... [et al.] -- Numerical deconvolution of microarray signal : simulation study / by Simon Rosenfeld. Automated interpretation of protein subcellular location patterns : implications for early cancer detection and assessment / by Robert Murphy -- Improved small lung cancer detection with computer aided detection and imaging of response to breast cancer risk reduction strategies / by Matthew Freedman -- Application of the random forest classification algorithm to a SELDI-TOF proteomics study in the setting of a cancer prevention trial/ by Grant Izmirlian -- Evolutionary fuzzy modeling human diagnostic decisions / by Carlos Andres Pena-Reyes -- Bayesian decomposition : analyzing microarray data within a biological context / by Michael Ochs ... [et al.] -- InfoEvolve(tm) : moving from data to drugs using information theory and genetic algorithms / by Ganesh Vaidyanathan -- Applications of machine learning and high dimensional visualization in cancer detection, diagnosis, and management / by John F. McCarthy ... [et al.] -- Data-driven computer simulation of human cancer cell / by A. Dhiman ... [et al.].